nlpexpr question

I am attempting to create a parameterize transistor base on nlp
parameters and have managed to get a flow working, but I want to improve
my display so that less information is presented.

I have three parameters w, m, and l. I am currently using the following
nlp expression to display my values on my symbol label:
(([~wp1]*[~mp1])/[~lp1]) which works correctly in my flow, but I only
want to display m is its value is greater than 1 and I only want to
display l if it is larger than process minimum. I have read on
sourcelink that there is no way to parse nlp parameters in skill, so
does anyone know of a way to do conditional statements directly in nlp
expressions?

Thanks.
Chuck

 

Whilst you're correct in saying that nlp expressions can't be parsed in
SKILL (at least not directly), unless you're using the ability to set an nlp
parameter several levels of hierarchy above the instance, and restricting
yourself to just setting the parameters on the device instance,
you can probably use an ILLabel to compute:

ilInst~>wp1*ilInst~>mp1/ilInst~>lp1

Of course, you'd probably want to wrap it up in a function which would detect
if the parameters had been set, and if they are greater than the process
minimum.

In other words, you're using the properties on the instance. Of course, if
the properties are coming from anything above the current instance, it would
get rather more complicated - you'd need to need to look at the instance
hierarchy (geGetInstHier() - can't remember if that's the function?) which
would start getting pretty hairy - and probably not necessarily what you'd want
to do... but even in this scenario, I'm sure you could write something
generic which could be applied in a variety of situations?

Regards,

Andrew.